• International journal of advanced smart convergence
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• v.12 no.1
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• pp.220-229
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• 2023

The development of logistics technology due to the 4th Industrial Revolution and logistics 4.0 has changed the logistics environment from offline to online, and the growth of the online market has accelerated due to the recent increase in non-face-to-face delivery due to COVID-19. Such growth in the online market has expanded the logistics market for delivery, and contributes to creating an advanced logistics ecosystem as last mile services and logistics technologies begin to grow together. As traffic and environmental problems arise as a result, interest in transportation means of cargo increases, and changes to cargo electric vehicles and delivery cycles are being considered. However, since mass transportation of transportation focused on terminal delivery such as cargo electric vehicles and delivery cycles is limited in handling large quantities in urban areas, methods for efficiently transporting cargo while considering the environment are being devised. In order to solve such environmental problems and increase the efficiency of logistics delivery in urban areas, technologies using underground spaces based on existing urban railroads are being developed. In this study, a study was conducted on the establishment of evaluation criteria for selecting a test bed, which is a space for applying the system.

• Journal of the Korean Regional Science Association
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• v.9 no.2
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• pp.27-40
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• 1993

Most studies on regional economic impact have utilized employment or employment income data. Recently, a few scholars have noticed the importance of nonemployment income sources in urban economies. Using decennial census data on Arizona towns from 1970 to 1990, this paper first examines the increasing importance of nonempolyment income sources in urban economies and the associations of nonemployment income sources with elderly population and metropolitan location. Then, this paper investigates the impact of nonemployment income on urban growth in the framework of economic base model. The regression results show that the impact of nonemployment income is significant in the increase of nonbasic income and becomes greater over time, and that the impact of transfer over time, and that the impact of transfer income on nonbasic income of transfer income on nonbasic income is stronger in smaller towns and the impact of investment income is stronger in larger towns.

• Korean Journal of Remote Sensing
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• v.23 no.3
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• pp.221-227
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• 2007

We present an analysis of urban development and growth with reconnaissance satellite photographs of Columbus metropolitan area acquired by the Corona program in 1965. A two-dimensional polynomial linear transformation was used to rectify the photos against United State Geological Survey (USGS) Large-scale Digital Line Graph (DLG) data georeferenced to Universal Transverse Mercator (UTM) coordinates. The boundaries of the Columbus metropolitan area were extracted from the rectified Corona image mosaic using a Bayesian approach to image segmentation. The inferred 1965 urban boundaries were compared with 1976 USGS Land Use and Land Cover (LULC) data and boundaries derived from 1988 and 1994 Landsat TM images. The urban area in and around Columbus approximately doubled from 1965 to 1994 (${\sim}110%$) along with population growth from 1960 to 1998 (${\sim}50%$). Most of the urban expansion results from development of residential units.

• Journal of Environmental Science International
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• v.19 no.2
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• pp.237-245
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• 2010

The relationship between air temperatures and the fraction of urban areas (FUA) and their linear regression equation were estimated using land-use data provided by the water management information system (WAMIS) and air temperatures by the Korea Meteorology Administration (KMA) in the Seoul metropolitan area (SMA) during 1975 through 2000. The future FUA in the SMA (from 2000 to 2030) was also predicted by the urban growth model (i.e., SLEUTH) in conjunction with several dataset (e.g., urban, roads, etc.) in the WAMIS. The estimated future FUA was then used as input data for the linear regression equation to estimate an annual mean minimum air temperature in the future (e.g., 2025 and 2030). The FUA in the SMA in 2000 simulated by the SLEUTH showed good agreement with the observations (a high accuracy (73%) between them). The urban growth in the SMA was predicted to increase by 16% of the total areas in 2025 and by 24% in 2030. From the linear regression equation, the annual mean minimum air temperature in the SMA increased about $0.02^{\circ}C$/yr and it was expected to increase up to $8.3^{\circ}C$ in 2025 and $8.7^{\circ}C$ in 2030.

• Journal of the Economic Geographical Society of Korea
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• v.17 no.3
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• pp.447-464
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• 2014

Creative industries are important due to the capability of enhancing urban competitiveness. This study is focused on unravelling the uneven growth and geographic distributions of creative industries. The main results are as follows. First, the primary city, Seoul, has too much eminence than the citysize rule suggests, and the creative-industry elasticity is very high compared to population and all industry. Second, Seoul is reinforcing the uneven growth with adjacent cities. Third, the local main cities have little power to enhance creative industries and the local small cities grow randomly. Fourth, each city should have more deliberation in accepting creative industries as an urban growth strategy.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.1-9
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• 2008

Recently, various researches have been studied on the predict method of land change according to its development. The Cellular Automata(CA) is one of the most popular methods in the urban growth modeling. The basis principle of CA is to repeat operations, which convert the current cell into new cell state by the transaction rule. It will minimize the loss of data by using Fuzzy-AHP and it can lead the flexible urban growth modeling. However, AHP would have a disadvantage to repeat the procedure of the collecting intentions until it derives the weight. Also, it is necessary for the simulation of CA to repeat the operations and the test of data accuracy should be accompanied. The purpose of this study is to predict the Busan city growth model and analyze it according to the automated test method by applying CA as well as Fuzzy-AHP. This study shall improve the difficulties caused by complexity and repetitiveness in the urban grow modeling. The practical modeling could be derived from the verification, and the derived modules could be applied to the similar case studies.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.1
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• pp.55-71
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• 2023

This paper theoretically explores the calculation of development impact fees focusing on urban growth, new urban development, developer, urban planner, housing, real estate market, community planning, community financing, local government, land use planning, public facilities, and development cost. Many questions related to who bears the burden of paying impact fees beg for answers based on empirical analysis. Those questions involve the extent to which landowners bear the burden, the effect of different levels of impact fees on the socioeconomic mix of communities, the distribution of fiscal benefits within a region where urban communities assess different levels of impact fees, and the preparedness of urban communities to accommodate development displaced by impact fees. Broader questions also relate to how urban and regional form is affected by differential application of impact fees throughout an area and whether money gained from the impact fees makes regional growth more or less efficient. Who ultimately pays development impact fees? There has been little empirical evaluation of how the market responds to development impact fees, but there is considerable information to suggest that, on the whole, the occupants - residents and users - pay the majority of the development impact fees.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.15 no.2
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• pp.1-8
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• 2012

This study is carried out to find the most optimal soil-plant combination in the urban agriculture by analyzing the association of soil base material which is being used in the urban agriculture with the growth of plants. 4 types of easily purchased soil (bed soil(A), animal vermicast soil(B), earth worm soil(C) and matured compost(D)) verified in aspects of effect and safety of soil in terms of growth of crop is selected as experimental soil and B, C, D type soils are mixed with granite soil at the ratio of 7 : 3. And granite soil(E) is set as a controlled soil and is compared to verify the effect of the experimental mixed soil. Herbaceous plants are classified into the fruit vegetables (Lycopersicon esculentum Mill. and Capsicum annuum L.), leafy vegetables (Brassica campestris L. ssp. Pekinensis and Lactuca sativa L.), medicinal vegetables (Chrysanthemum zawadskii var. latilobum and Liriope platyphylla F. T. Wang & T. Tang). The results of comparison of growth of herbaceous plants in different soil types showed that fruit vegetables and leafy vegetables in general had excellent growth in D type soil mixture and A type soil in general and had the poorest growth in E type (controlled) soil. 'Chrysanthemum zawadskii var. latilobum' had the excellent growth in D type, B type, C type mixed soil and A type soil and E type (controlled) soil are followed in order. In the case of 'Liriope platyphylla F. T. Wang & T. Tang', the difference in growth by each soil was shown to be insignificant. Therefore, the soil applied in the urban agriculture varies depending on each species of herbaceous plants, but it is considered effective to cultivate herbaceous plant which is economical and productive by using D type mixed soil which can be recycled and inexpensive compared with other experimental soils in the urban agriculture.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.4
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• pp.115-124
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• 2011

This study examines the process of urban formation in the city of Yanji. The analysis is done by the change of street pattern and major facility location in a timely manner by appling space syntax method. This research categorizes the pattern of the urban growth focused on two urban forms, street and major buildings, in the city and is offered of the meaning of the first value on interpretation of the urban growth in the city of Yanji. The result of the research are as follows. First, the period of the city transformation is divided into four stage; intuitive period, grid-iron formative period, consolidation period, and urban expansion period. Second, characteristics of each stage have been analyzed. At the first stage, the city started to frame along both buildings and streets which were placed without a plan. At the second stage, the city was planned and constructed into new grid-iron pattern ignoring existing context by Jananese colony. At the consolidation period, the road system expands from the city center toward suburban. At the last expansion period, the shape of the city has complicated its shape with complex road system. This study contributes to provide a basic analysis and data to investigate how the Yanji city has evolved over period of time. But further continuous research should be done for future urban development of the Yanji city.

• Journal of agricultural medicine and community health
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• v.27 no.2
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• pp.137-148
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• 2002

Objectives: This study was to investigate the needs for developing the health promotion program for elderly and to compare the health promoting lifestyles behaviors and perceived health status of elderly in urban and rural area. Methods: The data was collected from 82 elders in urban(D city) and 77 elders in rural area(C county) by face to face interview. The Health Promoting Lifestyle ProfileII(HPLPII) and Perceived Health Status were used. Results: 1) The total score of HPLP was 2.44. In the subscales, the highest degree of performance was 'nutrition', following 'interpersonal relationship', 'stress management', 'health responsibility' and 'spiritual growth' and the lowest degree of performance was 'physical activity'. 2) Elderly people living in urban area had significantly higher the total HPLP score than elderly people living in rural area The urban elderly had significantly higher the score of HPLP subscales such as 'physical activity', 'interpersonal relationship' and stress management than rural elderly. 3) The mean score of perceived health status was 8.79. There was no significant difference in the perceived health status between urban and rural elderly. Conclusions: The above findings indicate that it is necessary to develop a health promotion program with reinforced physical activity, health responsibility and spiritual growth for elderly people in Korea. Especially the physical activity need to he strengthened for rural elderly.